This unit has three distinct but related components: Multivariate analysis; sampling and surveys; and generalised linear models. The first component deals with multivariate data covering simple data reduction techniques like principal components analysis and core multivariate tests including Hotelling's T^2, Mahalanobis' distance and Multivariate Analysis of Variance (MANOVA). The sampling section includes sampling without replacement, stratified sampling, ratio estimation, and cluster sampling. The final section looks at the analysis of categorical data via generalized linear models. Logistic regression and log-linear models will be looked at in some detail along with special techniques for analyzing discrete data with special structure.
Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratory per week.
One 2 hour exam, assignments and/or quizzes, and computer practical reports (100%)
STAT3012 or STAT3912
DATA2002 or STAT2X12Prohibitions
STAT3914 or STAT3002 or STAT3902 or STAT3006